{"id":"W2018222535","doi":"10.1016/j.jpowsour.2014.10.007","title":"An experimental study of heat pipe thermal management system with wet cooling method for lithium ion batteries","year":2014,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":324,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Heat pipe; Water cooling; Nuclear engineering; Battery (electricity); Battery pack; Heat transfer; Passive cooling; Thermal; Evaporation; Evaporative cooler; Range (aeronautics); Lithium (medication); Materials science; Air cooling; Active cooling; Computer cooling; Mechanical engineering; Thermodynamics; Thermal management of electronic devices and systems; Engineering; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003227016,0.0003657003,0.0004098884,0.0002551248,0.0005818279,0.0003290862,0.0006953239,0.0003700651,0.002793595],"category_scores_gemma":[0.0004689859,0.0002263515,0.0003764948,0.0002426325,0.0003928059,0.0008230739,0.0002653193,0.0003162864,0.000215191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002642326,"about_ca_system_score_gemma":0.0003186132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007541756,"about_ca_topic_score_gemma":0.0007843893,"domain_scores_codex":[0.9997427,0.00004118192,0.00001710372,0.00005569146,0.00009674158,0.00004652037],"domain_scores_gemma":[0.999681,0.00008606789,0.00004044699,0.00004869017,0.0001189875,0.00002493053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00203152,0.001266537,0.00326094,0.0007278204,0.00004237946,0.0002318201,0.0004501418,0.005681767,0.9636123,0.0004602773,0.0005583619,0.02167622],"study_design_scores_gemma":[0.0002143314,0.01203264,0.01847077,0.00002541837,0.0001455894,0.0001861258,0.0006242556,0.03092844,0.9339476,0.0002100049,0.003149314,0.00006551542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953548,0.000149748,0.003273633,0.00003026381,0.00005202268,0.00006341259,0.00008895555,0.00006967055,0.0009175243],"genre_scores_gemma":[0.9978105,0.0000906049,0.001048993,0.00000685922,0.000009243884,0.00003764811,0.00003754292,0.000009319904,0.0009492338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002793595,"threshold_uncertainty_score":0.009345531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353573391138219,"score_gpt":0.2921668963466284,"score_spread":0.2786311624352462,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}